Abstract
Microtrips are the key in driving cycle, and the base for constructing a driving cycle. For the construction of a modal driving cycle, the study firstly used principal component analysis to reduce the dimensions of the index data of microtrips, then a multi-objective optimization model was established with the goal of minimizing the deviation between the feature of the vehicle modal driving cycle and the actual vehicle operating feature. The non-dominated sorting genetic algorithm-II (NSGA-II) was designed to save the optimization model. Based on the correlation test of actual data, the designed method can obtain highly representative solutions.
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